Program Improvement by Automatic Redistribution of Intermediate Results

dc.creator	Hall, Robert Joseph
dc.date	2004-10-20T19:57:59Z
dc.date	2004-10-20T19:57:59Z
dc.date	1991-02-01
dc.date.accessioned	2013-10-09T02:47:02Z
dc.date.available	2013-10-09T02:47:02Z
dc.date.issued	2013-10-09
dc.identifier	AITR-1251
dc.identifier	http://hdl.handle.net/1721.1/6815
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Introducing function sharing into designs allows eliminating costly structure by adapting existing structure to perform its function. This can eliminate many inefficiencies of reusing general componentssin specific contexts. "Redistribution of intermediate results'' focuses on instances where adaptation requires only addition/deletion of data flow and unused code removal. I show that this approach unifies and extends several well-known optimization classes. The system performs search and screening by deriving, using a novel explanation-based generalization technique, operational filtering predicates from input teleological information. The key advantage is to focus the system's effort on optimizations that are easier to prove safe.
dc.format	275 p.
dc.format	17103312 bytes
dc.format	13382864 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AITR-1251
dc.subject	artificial intelligence
dc.subject	function sharing
dc.subject	program optimization
dc.title	Program Improvement by Automatic Redistribution of Intermediate Results

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